Artificial Intelligence in Dentistry
Year: 2025
Type: article
Abstract: Aim: This study aims to explore the awareness and application of artificial intelligence [AI] among Dental Graduates and Post-graduates focusing on its potential to enhance awareness, diagnostic accuracy, treatment planning and patient outcome. Study Design: The research follows a cross sectional survey designed to collect data directly from graduates and postgraduates via google form. Place of Study: An E-Questionnaire was circulated amongst various Dental colleges of central India. Methodology: An structured E-Questionnaire was circulated among graduates and post graduates. Responses were collected and analysed using statistical methods to identify trends, knowledge gap and attitude towards AI into dental education. Survey focused on parcipant’s knowledge, atudeand perceptions regarding AI application in dentistry. Result: The study included 511 participants (166 Post Graduates and 345 Graduates). This distribution reflected significantly positive results for the postgraduate despite comprising a smaller portion of the participant pool, they demonstrate Positive response about the survey due to their greater knowledge regarding AI compared to the graduate. Despite having comparatively lesser exposure to AI more than 50% of graduate responded positively to the survey reflecting their optimistic Outlook towards the AI in dentistry. Conclusion: The survey highlights a growing awareness and positive perception of AI recognizing it’s potential and revolutionize diagnostic and therapeutic practice in dentistry. However significant gaps in practical knowledge and hands on exposure to AI technology underscores the need for integrating AI focus modules into dental curriculum and providing training opportunities to give future dentist dental professionals with the skills required for effectively implementing AI in clinical setup. Clinician shall be chief complaint oriented in his diagnostic approach but AI has the potential of highlighting all the possible findings just by digital scanning of the Oral Cavity and radio-graphs.
Author: International Journal of Medical Science and Advanced Clinical Research (IJMACR)
Language: English
Subfield: Oral Surgery
Field: Dentistry
Domain: Health Sciences
Open Access status: green
OpenAlex ID: W6912306601
FWCI:
Cites:
Cited by:
Related to: